plan-architecture

plan-architecture is a skill for Claude Code from ils15/pantheon-legacy. It costs 27 tokens per session (934 once invoked), scanned A, original, MIT.

A planning method for designing a feature before implementation. It breaks the work into components, maps data flow and dependencies, and defines the contracts between layers.

In plain words
What is it for?
Use it to plan end-to-end features, map handlers, services, repositories, databases, and external APIs, or prepare a TDD plan. TDD means writing tests to guide the implementation.
Why use it?
It exposes missing requirements, error cases, and integration risks before code is written.

Skill for Claude Code

Written for Claude Code: context: fork in frontmatter.

Good fit Use it to plan end-to-end features, map handlers, services, repositories, databases, and external APIs, or prepare a TDD plan. TDD means writing tests to guide the implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ils15/pantheon-legacy/plan-architecture
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ils15/pantheon-legacy --skill plan-architecture
Clone the repo
git clone --depth 1 https://github.com/ils15/pantheon-legacy

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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agentmods 80×15 button for plan-architecture

Your own site · 80×15
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Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 934 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00934
Opus 5 $0.00014 $0.00467
Sonnet 5 $0.00005 $0.00187
Haiku 4.5 $0.00003 $0.00093

Measured 8d ago against content hash 493c176ca1b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

plan-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/plan-architecture/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Architecture Skill

When to Use

Use this skill when:

  • Designing a new feature end-to-end before writing code
  • Breaking down a complex change into implementation phases
  • Mapping dependencies between components
  • Defining API contracts between layers
  • Evaluating architectural trade-offs
  • Preparing a TDD-driven implementation plan

Architecture Planning Workflow

1. Understand the Requirement

Before drawing boxes:

  • Identify the user-facing goal (what changes for the user?)
  • Identify the system boundary (what components are touched?)
  • Identify external dependencies (APIs, databases, queues, third-party services)

2. Component Breakdown

Break the feature into layers:

Request → Route/Handler → Service → Repository → Database
                       ↓
                   External APIs

For each component define:

  • Responsibility — single sentence
  • Inputs / Outputs — types, not just names
  • Error cases — what can go wrong and how it surfaces

3. Data Flow Diagram

Map the happy path first, then edge cases:

Client
  │ POST /feature
  ▼
Handler (validates input, calls service)
  │
  ▼
Service (business logic, orchestrates)
  │         │
  ▼         ▼
Repo     External API
  │
  ▼
Database

4. Dependency Map

Component Depends On Depended By
Handler Service Client
Service Repo, External API Handler
Repo Database Service

5. API Contracts

Define contracts before implementation:

# Input schema
class CreateFeatureRequest(BaseModel):
    name: str
    config: dict[str, Any]

# Output schema
class FeatureResponse(BaseModel):
    id: UUID
    name: str
    created_at: datetime

# Error cases
# 400 — validation error
# 404 — dependency not found
# 409 — conflict (already exists)
# 500 — upstream failure

6. Implementation Phases

Split into parallel-safe phases for TDD execution:

Phase 1 — Data layer (Demeter)
  - Migration: create table
  - Model: ORM class
  - Repository: CRUD methods + tests

Phase 2 — Service layer (Hermes) [depends on Phase 1]
  - Service class: business logic + tests
  - External API client + mock tests

Phase 3 — API layer (Hermes) [depends on Phase 2]
  - Route handler + tests
  - Request/response schemas

Phase 4 — Frontend (Aphrodite) [can parallel Phase 2+3]
  - Component tree
  - API integration
  - Tests

Read the full file on GitHub · 162 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 162 lines · 27 tokens per session scan A 493c176ca1b2

Subscribe to this mod's changes

plan-architecture is a skill published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 934 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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